Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

RATE NOW!
- ABECA 2025
  
  RATE NOW!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

Onehouse

Compare

No reviews yet

3 Onehouse Jobs

Database/Data Infrastructure Engineer

Onehouse

3-6 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Onehouse

posted 1y ago

Job Role Insights

Key skills for the job

Medical Coding Linux Administration C++ Microsoft Power BI Open Source Apache Nifi

+ 3 more

Job Description

As a database engineer on Onehouse, you will work on the guts of Apache Hudis transactional engine as well as optimize it for diverse customer workloads for Onehouse, by designing algorithms to improve the performance and lower costs for large-scale data processing.

Responsibilities

Design new concurrency control and transactional capabilities, that maximizes throughput for competing writers.
Design and implement new indexing schemes, specifically optimized for incremental data processing and analytical query performance.
Design systems that help scale and streamline metadata and data access from different query/compute engines.
Solve hard optimization problems to improve the efficiency (increase performance and lower cost) of distributed data processing algorithms over a Kubernetes cluster.
Leverage data from existing systems to find inefficiencies, and quickly build and validate prototypes.
Collaborate with other engineers to implement and deploy, safely rollout the optimized solutions in production.

Must Haves

Strong, object-oriented design and coding skills (C/C++ and/or Java preferably on a UNIX or Linux platform)
Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases
Deal well with ambiguous/undefined problems; ability to think abstractly; articulate technical challenges and solutions
Speed and hustle Ability to prioritize across feature development and tech debt.
Ability to solve complex programming/optimization problems.
Ability to quickly prototype optimization solutions and analyze large/complex data.
Good communication skills.

Bonus Skills

Experience working with database systems, Query Engines or Spark codebases.
Experience in optimization mathematics (linear programming, nonlinear optimization)
Existing publications of optimizing large-scale data systems in top-tier distributed system conferences.
PhD degree with 2+ industrial experience in solving and delivering high-impact optimization projects.

Employment Type: Full Time, Permanent

Read full job description